Addressing crime detection, cyber security and multi-modal gaze estimation in biometric
information recognition is challenging. Thus, trained artificial intelligence (AI) algorithms …

In recent years, AI technologies have become indispensable in social and industrial
development, yielding revolutionary results in improving labor efficiency, lowering labor …

Introduction Precision monitoring maturity in climacteric fruits like tomato is crucial for
minimising losses within the food supply chain and enhancing pre-and post-harvest …

Abstract The Sanxingdui Ruins site, situated in Sichuan Province, China, constitutes a
significant component of the ancient Shu culture. Confronted with the challenge of …

Purpose This paper aims to analyze the socioeconomic impacts of infectious diseases
based on uncertain behaviors of social and effective subsystems in the countries. The …

Dynamic sign words recognition (DSR) from Spatial features using skeletal hand joints
information play an important role in similarity problem of sign words. Unfortunately …

Noise poses challenge to nonlinear Hammerstein-Wiener (HW) subsystem model
application, because HW subsystem need large number of parameter interactions. However …

This research proposes a methodology for identifying nonlinear systems using input/output
data and deep learning generative models. Our framework integrates Variational …

Urban healthcare operations continuously generate large amounts of electronic medical
record data. Combined with urban regional factors, a comprehensive data model is …

Abstract–Determining the optimal fuzzy terms, which lead to the minimum global error,
remains a challenge in the fuzzy methods. Another challenge is that the parameters of the …